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Browsing Çevre Mühendisliği / Environmental Engineering by Author

Browsing Çevre Mühendisliği / Environmental Engineering by Author "Doğan, Emrah"

Now showing items 1-8 of 8

Application of Artificial Neural Networks to Estimate Wastewater Treatment Plant Inlet Biochemical Oxygen Demand

Doğan, Emrah; Ateş, Asude; Eren, Beytullah (WILEY, 2008)

Biochemical oxygen demand (BOD) has been shown to be an important variable in water quality management and planning. However, BOD is difficult to measure and needs longer time periods (5 days) to get results. Artificial ...
Development of artificial neural network for prediction of salt recovery by nanofiltration from textile industry wastewaters

Eren, Beytullah; İleri, Recep; Doğan, Emrah; Çağlar, Naci (TAYLOR & FRANCIS INC, 2012)

This paper presents the use of artificial neural network (ANN) to develop a model for predicting rejection rate (R-o) of single salt (NaCl) by nanofiltration based on experimental datasets. The rejection rates of NaCl were ...
Dissolved oxygen estimation using artificial neural network for water quality control

Şengörür, Bülent; Doğan, Emrah; Köklü, Rabia (PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2006)

Dissolved oxygen (DO) is one of the key parameters when analyzing river water quality. Correct estimation of DO being carried by a river is very important for water quality control. DO is affected by lots of variables such ...
Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique

Doğan, Emrah; Şengörür, Bülent; Köklü, Rabia (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2009)

Artificial neural networks (ANNs) are being used increasingly to predict and forecast water resources' variables. The feed-forward neural network modeling technique is the most widely used ANN type in water resources ...
Modelling of evaporation from the reservoir of Yuvacik dam using adaptive neuro-fuzzy inference systems

Doğan, Emrah; Gümrükçüoğlu Yiğit, Mahnaz; Sandalcı, Mehmet (PERGAMON-ELSEVIER SCIENCE LTD, 2010)

Adaptive neuro-fuzzy inference system (ANFIS) models are proposed as an alternative approach of evaporation estimation for Yuvacik Dam. This study has three objectives: (1) to develop ANFIS models to estimate daily pan ...
Prediction of Ionic Cr (VI) Extraction Efficiency in Flat Sheet Supported Liquid Membrane Using Artificial Neural Networks (ANNs)

Eyüpoğlu, Volkan; Eren, Beytullah; Doğan, Emrah (UNIV TEHRAN, 2010)

Artificial neural networks (ANNs) are computer techniques that attempt to simulate the functionality and decision-making processes of the human brain. In the past few decades, artificial neural networks (ANNs) have been ...
SEPARATION OF STREAM FLOW INTO COMPONENTS THROUGH THE USE OF A CO-ACTIVE NEURO FUZZY INFERENCE SYSTEM (CANFIS)

Şengörür, Bülent; Dede, Cemile; Doğan, Emrah (PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2014)

In this study, the usability of a Co-Active Neuro-Fuzzy Inference System (CANFIS) as an alternative to the Digital Filtering (DFM) and United Kingdom Institute of Hydrology (UKIH) mathematical methods, which are frequently ...
The examination of the performances of methods used in separating the total stream flow in different rivers

Şengörür, Bülent; Dede, Cemile; Doğan, Emrah (UNIV ZAGREB , ANDRIJA MOHOROVICIC GEOPHYS INST, 2014)

In this study, the performances of methods of flow separation into the surface flow and base flow of the total stream flow in rivers with different hydraulic features have been examined. For this purpose, daily mean stream ...